Data Engineer

KOPI RECRUIT PTE. LTD.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

KOPI RECRUIT PTE. LTD. is seeking an experienced Data Engineer to join our team in Singapore. You will design, deploy, and maintain data solutions using advanced analytics and AI technologies to support strategic decisions.

You will collaborate with stakeholders, build data pipelines, validate data quality, and develop dashboards to visualize key metrics for decision-making. Proficiency in Python/SQL, cloud data platforms, and BI tools is essential.

Qualifications

• Bachelor's degree in a relevant field.
• 8+ years of experience in data platform, analytics or related projects.
• Experience designing and managing enterprise data architecture (batch and real-time).
• Proficient in Python/SQL; experience with ETL, data models and data integration.
• Experience with cloud data platforms and BI tools.

Responsibilities

• Design, deploy and maintain data solutions to support strategic decisions.
• Build and monitor data pipelines, ensure data quality and availability.
• Develop dashboards and reports to visualize metrics for stakeholders.
• Collaborate with stakeholders to gather data requirements and ensure alignment.
• Research and apply machine learning or statistical techniques as needed.

Skills

Python

SQL

ETL

Airflow

Data modeling

Education

Bachelor's degree in Computer Science, Data Science, Statistics

Tools

Informatica

Talend

Airflow

Databricks

Snowflake

Kafka

Job description

JOB SUMMARY

We are seeking an experienced Data Engineer to join our team. This role is responsible for understanding business priorities and designing, deploying, and maintaining innovative data solutions using advanced analytics and AI technologies to support strategic decision-making. You will play a key role in conducting research and performing comprehensive data analysis to uncover new business use cases, address operational challenges, and solve complex problems. By enabling intelligent data-driven solutions, this role contributes directly to RWS’s strategic goals, enhances customer experience, and supports the IT division’s transformation agenda.

KEY RESPONSIBILITES (JOB REQUIREMENTS)

• 1Data Engineering & Platform Support
• 2Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics.
• 3Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting.
• 4Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.
• 5Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams.
• 1Collaboration & Business Understanding
• 2Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives.
• 3Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.
• 4Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems.
• 1Learning & Continuous Improvement
• 2Research and apply suitable machine learning models or statistical techniques under guidance
• to support business use cases.
• Stay updated on industry trends and tools in data engineering and analytics to enhance technical skills and contribute to team innovation.
• - Recommend and support process improvements to increase data pipeline efficiency and improve data reliability over time.

JOB REQUIREMENTS/JOB QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 8 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc.).
• Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL/NoSQL, Vector and Graph etc.).
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Prior experience of AI technology stack is a great plus.
• Prior experience in at least one BI tool (Power BI, Tableau, etc.).
• Related industry experience is a plus.

CORE COMPETENCY

• 1.Data Analytics
• 2.Design thinking
• 3.Business Needs Analysis
• 4.Data Engineering
• 5.Data Quality Assurance
• 6.Data Security & Compliance